Tools and Guidelines for Principled Machine Translation Development
2016-05-01LREC 2016Unverified0· sign in to hype
Nora Aranberri, Eleftherios Avramidis, Aljoscha Burchardt, Ond{\v{r}}ej Klejch, Martin Popel, Maja Popovi{\'c}
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This work addresses the need to aid Machine Translation (MT) development cycles with a complete workflow of MT evaluation methods. Our aim is to assess, compare and improve MT system variants. We hereby report on novel tools and practices that support various measures, developed in order to support a principled and informed approach of MT development. Our toolkit for automatic evaluation showcases quick and detailed comparison of MT system variants through automatic metrics and n-gram feedback, along with manual evaluation via edit-distance, error annotation and task-based feedback.